Method and apparatus for inter-pharmacy workload balancing
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06Q-010/00
G06Q-050/00
출원번호
UP-0794867
(2010-06-07)
등록번호
US-7860730
(2011-02-24)
발명자
/ 주소
Goodall, Charles
Jhaveri, Nimesh
Wielgos, Russell Alan
출원인 / 주소
Walgreen Co.
대리인 / 주소
Kowalik, Francis C.
인용정보
피인용 횟수 :
12인용 특허 :
70
초록
The system distributes workload amongst a plurality of pharmacy resources that are connected by a computer network. Work orders are queued at each pharmacy resource and redistributed based on existing workload distribution, capacity of pharmacy resources, and/or product demand.
대표청구항▼
What is claimed: 1. A method of managing drug prescription orders within a network of pharmacy resources comprising: receiving, into electronic queues corresponding to computers of a plurality of pharmacy resources in the network of pharmacy resources, prescription work orders for execution, wherei
What is claimed: 1. A method of managing drug prescription orders within a network of pharmacy resources comprising: receiving, into electronic queues corresponding to computers of a plurality of pharmacy resources in the network of pharmacy resources, prescription work orders for execution, wherein: the computers are communicatively coupled, each of the plurality of pharmacy resources is at a different location and includes at least one employee, and the prescription work orders each include a physical preparation portion and an information processing portion; calculating a workload for each pharmacy resource, the workload based on an employee type of a corresponding at least one employee, wherein the employee type is selected from a group of employee types including at least a pharmacist and a non-pharmacist; determining a current workload distribution of the plurality of pharmacy resources based on the calculated workload of each pharmacy resource; designating a particular pharmacy resource as one of a sender or a receiver pharmacy resource based on the calculated workload of the particular pharmacy resource and the current workload distribution of the plurality of pharmacy resources; and automatically routing, based on the current workload distribution, a first portion of the information processing portion of a particular prescription work order from a sender electronic queue corresponding to a sender computer corresponding to a designated sender pharmacy resource to at least one first receiver electronic queue corresponding to at least one first receiver computer corresponding to at least one first designated receiver pharmacy resource. 2. The method of claim 1, wherein calculating the workload for each pharmacy resource is further based on at least one expertise type of the corresponding at least one employee, the at least one expertise type selected from a group of expertise types including at least two of: a certification, an accuracy rating, an efficiency of the corresponding at least one employee, an ability to enter prescription data, an ability to authenticate the prescription work orders, an ability to validate customer information, an ability to validate third-party information, an ability to collect payment information, an ability to process the payment information, an ability to reference drug information, an ability to determine an out-of-stock status of one or more materials, an ability to enter accounting information into an accounting database, an ability to effect a printing of a label for prescription work orders, an ability to receive a pre-processed compound or formulation for the particular prescription work order, an ability to mix compounds for the particular prescription work order, an ability to obtain materials for the particular prescription work order, an ability to effect packaging of the particular prescription work order, an ability to effect delivery of the particular prescription work order, an ability to effect mailing of the particular prescription work order, and an ability to perform at least a portion of fulfilling of the particular prescription work order. 3. The method of claim 2, wherein calculating the workload of each pharmacy resource is further based on an availability of the corresponding at least one employee. 4. The method of claim 2, wherein calculating the workload for each pharmacy resource is further based on a number of current prescription work orders and a capacity of the corresponding at least one employee. 5. The method of claim 1, further comprising adjusting, at the particular pharmacy resource, a pharmacy staffing schedule based on at least one of the workload of the particular pharmacy resource and the current workload distribution of the plurality of pharmacy resources. 6. The method of claim 1, further comprising automatically routing, based on the current workload distribution, a second portion of the information processing portion of the particular prescription work order from the sender electronic queue to a second receiver electronic queue corresponding to a second receiver computer corresponding to a second designated receiver pharmacy resource. 7. The method of claim 6, wherein automatically routing the first portion of the information processing portion of the particular prescription work order is performed in parallel with automatically routing the second portion of the information processing portion of the particular prescription work order. 8. The method of claim 1, wherein the information processing portion of each prescription work order includes more than one of: entering prescription data, authenticating the prescription work order, validating customer information, validating third-party information, collecting payment information, processing payment information, referencing drug information, determining an out-of-stock status of one or more materials, or entering accounting information into an accounting database. 9. The method of claim 1, wherein the physical preparation portion of each prescription work order includes, for each prescription work order, at least one of: printing a label, mixing compounds, receiving a pre-processed compound or formulation, obtaining a material, packaging, delivering, mailing, or fulfilling. 10. The method of claim 1, further comprising anticipating a change in a capacity of a second particular pharmacy resource to process a corresponding workload; designating the second particular pharmacy resource as an identified sender pharmacy resource when anticipating a decrease in the capacity of the second particular pharmacy resource; and designating the second particular pharmacy resource as an identified receiver pharmacy resource when anticipating an increase in the capacity of the second particular pharmacy resource. 11. The method of claim 1, further comprising performing the physical preparation portion of the particular prescription work order after the information processing portion is completed. 12. The method of claim 1, further comprising automatically routing, based on the current workload distribution, at least a portion of the physical preparation portion of the particular prescription work order to a second receiver computer corresponding to a second designated receiver pharmacy resource. 13. The method of claim 1, wherein designating the particular pharmacy resource comprises: designating the particular pharmacy resource as an identified sender pharmacy resource when the workload of the particular pharmacy resource is greater than an average workload of the plurality of pharmacy resources by a threshold amount, and designating the particular pharmacy resource as an identified receiver pharmacy resource when the workload of the particular pharmacy resource is less than the average workload of the plurality of pharmacy resources by the threshold amount. 14. A system for distributing pharmacy prescription processing workload amongst a plurality of pharmacy locations, the system comprising: a network of the plurality of pharmacy locations, wherein each pharmacy location includes at least one employee; a client computer located at each pharmacy location programmed to accept prescription work orders into an electronic queue, execute at least a portion of each prescription work order, and calculate a workload for a corresponding pharmacy location based on an employee type of the at least one employee, wherein: each prescription work order includes a physical preparation portion and an information processing portion, and the employee type is selected from a group of employee types including at least a pharmacist and an employee without a pharmacy license; and a server computer programmed to: collect workload data from the plurality of pharmacy locations, determine a target workload distribution based on a current workload distribution, and designate each client computer corresponding to each pharmacy location as one of a sender or a receiver, so that a designated sender client computer routes, based on the target workload distribution, a first part of the information processing portion of a particular prescription work order to a first designated receiver client computer and routes a second part of the information processing portion of the particular prescription work order to a second designated receiver client computer. 15. The system of claim 14, wherein the workload for the corresponding pharmacy location is further based on at least one expertise type of the at least one employee, the at least one expertise type selected from a group of expertise types including at least two of: a certification, an accuracy rating, an efficiency of the at least one employee, an ability to enter prescription data, an ability to authenticate the prescription work orders, an ability to validate customer information, an ability to validate third-party information, an ability to collect payment information, an ability to process the payment information, an ability to reference drug information, an ability to determine an out-of-stock status of one or more materials, an ability to enter accounting information into an accounting database, an ability to effect a printing of a label for the particular prescription work order, an ability to mix compounds for the particular prescription work order, an ability to receive a pre-processed compound or formulation for the particular prescription work order, an ability to mix compounds for the particular prescription work order, an ability to obtain materials for the particular prescription work order, an ability to effect packaging of the particular prescription work order, an ability to effect delivery of the particular prescription work order, an ability to effect mailing of the particular prescription work order, and an ability to perform at least a portion of fulfilling of the particular prescription work order. 16. The system of claim 15, wherein the workload of the corresponding pharmacy location is further based on at least one of an availability of the at least one employee or a capacity of the at least one employee. 17. The system of claim 14, wherein the information processing portion of each prescription work order includes at least two of: entering prescription data, authenticating the prescription work order, validating customer information, validating third-party information, collecting payment information, processing payment information, referencing drug information, determining an out-of-stock status of one or more materials, or entering accounting information into an accounting database. 18. The system of claim 14, wherein the physical preparation portion of each prescription work order includes, for each prescription work order, at least one of: printing a label, mixing compounds, receiving a pre-processed compound or formulation, obtaining a material, packaging, delivering, mailing, or fulfilling. 19. The system of claim 14, wherein the first part and the second part of the information processing portion of the particular prescription work order are routed in parallel. 20. The system of claim 14, wherein the server computer is further programmed to route, based on the target workload distribution, an indication of the physical preparation portion of the particular prescription work order to a third designated receiver client computer. 21. The system of claim 14, wherein the target workload distribution is based on an anticipated resource capacity change. 22. A computer-readable memory having computer-executable instructions for distributing pharmacy workload across a plurality of pharmacy locations, the computer-executable instructions stored on a memory of a network server and comprising: a first routine for determining a workload for a first pharmacy location, wherein: the first pharmacy location includes at least one employee and a first computer, the first computer is configured to receive prescription work orders, wherein each prescription work order includes a physical preparation portion and an information processing portion, and the workload is based on an employee type of the at least one employee, wherein the employee type is selected from a group of employee types including at least a pharmacist and an employee without a pharmacist's license; a second routine for determining a target workload distribution for the plurality of pharmacy locations based on the workload for the first pharmacy location and workloads of other pharmacy locations from the plurality of pharmacy locations; and a third routine for indicating a routing, based on the target workload distribution of the plurality of pharmacy locations, of a first part of the information processing portion of a particular prescription work order from a first electronic queue corresponding to the first pharmacy location and accessible by the first computer to a second electronic queue corresponding to a second pharmacy location and accessible by a second computer at the second pharmacy location, wherein: the information processing portion of the particular prescription work order includes at least one of: entering prescription data, authenticating the particular prescription work order, validating customer information, validating third-party information, collecting payment information, processing payment information, referencing drug information, determining an out-of-stock status of one or more materials, or entering accounting information into an accounting database; the physical preparation portion of the particular prescription work order includes at least one of: printing a label, mixing compounds, receiving a pre-processed compound or formulation, obtaining a material, packaging, delivering, mailing, or fulfilling; and the first computer and the second computer of the plurality of pharmacy locations are communicatively coupled to each other and to the network server. 23. The computer-readable memory of claim 22, wherein the workload for the first pharmacy location is based on at least one of an availability, a capacity, or an expertise type of the at least one employee. 24. The computer-readable memory of claim 23, wherein the expertise type of the at least one employee is based on at least one of: a certification, an accuracy rating, an efficiency of the at least one employee, an ability to enter prescription data, an ability to authenticate the prescription work order, an ability to validate customer information, an ability to validate third-party information, an ability to collect payment information, an ability to process the payment information, an ability to reference drug information, an ability to determine the out-of-stock status of one or more materials, an ability to enter at least a portion of the accounting information into the accounting database, an ability to effect a printing of a label for the particular prescription work order, an ability to mix compounds for the particular prescription work order, an ability to receive the pre-processed compound or formulation for the particular prescription work order, an ability to mix compounds for the particular prescription work order, an ability to obtain materials for the particular prescription work order, an ability to effect packaging of the particular prescription work order, an ability to effect delivery of the particular prescription work order, an ability to effect mailing of the particular prescription work order, or an ability to perform at least a portion of fulfilling of the particular prescription work order. 25. The computer-readable memory of claim 22, wherein the third routine further indicates a routing, based on the target workload distribution, of a second part of the information processing portion of the particular prescription work order from the first electronic queue to a third electronic queue corresponding to a third pharmacy location and accessible by a third computer at the third pharmacy location.
연구과제 타임라인
LOADING...
LOADING...
LOADING...
LOADING...
LOADING...
이 특허에 인용된 특허 (70)
Dietrich Brenda L. (Yorktown Heights NY) Wittrock Robert J. (Ossining NY), Allocation method for generating a production schedule.
Kosinski,Diana L.; Sullivan,Mark W.; McNamara,Steven M.; Russo,Melissa, Apparatus and method for processing prescription requests using a remotely located prescription processing system.
Williams Jeffrey P. (Dry Prong LA) Welin Dana (Chandler AZ) Mathews Robert (Brentwood TN) Towle Alvin (Boyce LA) Orrick Alec (Pineville LA), Automated medical prescription fulfillment system having work stations for imaging, filling, and checking the dispensed.
Spaulding Gregory L. (Manhattan KS) Spaulding Pamela M. (Manhattan KS) Bueche Kenneth M. (Friendswood TX), Automatic dispensing system for prescriptions and the like.
Brimm John E. (Scottsdale AZ) Diaz Oscar R. (Phoenix AZ) Fein Murray A. (Phoenix AZ) Norden-Paul Ronald E. (Peoria AZ) Stern Michael M. (Needham MA) Stewart Sandra L. (Phoenix AZ), Medical information system with automatic updating of task list in response to entering orders and charting intervention.
Gerald E. Goetz ; Terry Precht ; Eric Krug ; Andrew Fanton ; Joe Keating ; Brian Coppom ; Bradley Thompson ; Brian Hepp, Medication monitoring system and apparatus.
Akers William Rex ; Paris Michael Wayne ; Strickland Teresa A. ; Jenkins Kilburn Deborah L., Method and apparatus for integrated management of pharmaceutical and healthcare services.
Byerly Baxter H. ; Uecker Robert Anthony, Method and system for automatically generating advisory information for pharmacy patients along with normally transmitted data.
Babayev Djangir A. (Boulder CO) Berger Richard M. (Boulder CO) Dean Vincil C. (Edgewater CO) Hansen Ronald L. (Louisville CO) Parrish Scott H. (Boulder CO), System and method for scheduling service providers to perform customer service requests.
Wolters ; Jr. Richard Arthur ; Schwee Susan Mae ; Isaacs James Russell,CHX ; Smith Michael Adrian ; Cooley ; Jr. Walter Hening ; Leighty Craig Ernest ; Borst George ; Mayo Paul Lawrence ; Lownes Greg, System for managing multiple projects of similar type using dynamically updated global database.
Wallace, Robert L.; Hart, Brian T.; Hart, Richard D.; Berube, Arthur A.; Liff, Harold J.; Buciuman-Coman, Liana; Dowling, James; Piantedosi, Steve, Systems and methods for dispensing medical products.
Wallace, Robert L.; Hart, Brian T.; Hart, Richard D.; Berube, Arthur A.; Liff, Harold J.; Buciuman-Coman, Liana; Dowling, James, Systems and methods for drug dispensing.
Peifer John W. ; Hopper Andrew ; Burrow Michael ; Sudduth Barry ; Panchal Samir ; Quay Andy ; Price W. Edward ; Searle John R., Telemedicine system using voice video and data encapsulation and de-encapsulation for communicating medical informatio.
MacDonald, Kevin William; Pedra, David Mario; Kress-Spatz, Timothy James Leo; Doyle, Christian; Brody, Eric, Management of pharmacy kits using multiple acceptance criteria for pharmacy kit segments.
Gitchell, Jennifer Ashley; Kress-Spatz, Timothy James Leo; MacDonald, Kevin William; Petersen, Nicholas Bastien; Meloni, Julie Christina; Doyle, Christian Lee; Waud, Michael David; Pedra, David Mario; Stocchero, Nicholas Ward; Wimpee, Michael Christopher; Shyu, Steven; Murali, Mahesh, Medication tracking.
Gitchell, Jennifer Ashley; Kress-Spatz, Timothy James Leo; MacDonald, Kevin William; Petersen, Nicholas Bastien; Meloni, Julie Christina; Doyle, Christian Lee; Waud, Michael David; Pedra, David Mario; Stocchero, Nicholas Ward; Wimpee, Michael Christopher; Shyu, Steven; Murali, Mahesh, Medication tracking.
Gitchell, Jennifer Ashley; Kress-Spatz, Timothy James Leo; MacDonald, Kevin William; Petersen, Nicholas Bastien; Meloni, Julie Christina; Doyle, Christian Lee; Waud, Michael David; Pedra, David Mario; Stocchero, Nicholas Ward; Wimpee, Michael Christopher; Shyu, Steven; Murali, Mahesh, Medication tracking.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.